Working Experience

January/2002: Professional Practice I, performed during January 2002 as Car Driver Assistant at Autosummit a Ford Company concessionaire, Santiago, Chile.

January/2003:Professional Practice II, performed during January 2003 as Practice Student developing an automatic system of selection based in fuzzy logic and assistant for maintenance technicians at Telefónica Móvil S.A., Santiago, Chile.

January/2004: Professional Practice III, performed during January 2004 as Practice Student developing a wireless system of dynamic communication between three equipments with an automatic incorporation, working as Design Engineering at Conecta Ingeniería, Santiago, Chile.

March - July/2005: Design and construction of a program for the automatic detection of pornographic images by processing digital images. This work was performed with educational purposes at Universidad de Chile, Santiago, Chile.

August/2005 - September/2006: Test of Internet equipment, such as switches, routers and others. Product and solutions developing in Telephony IP and IP system, working as Project Engineering at Telmex Chile, Santiago, Chile.

Projects

This paper describes a novel method to acquire depth images based on combining a pair of ToF (Time of Flight) cameras. As opposed to approaches that register point clouds posterior to the image acquisition, we propose to combine the measurements of the two cameras at the acquisition level. To do so, we actively control the infrared lighting of the scene such that the two cameras emit and measure the reflected infrared light first one after the other, and then simultaneously. Assuming the scene is static during these three stages and gathering the obtained depth measurements in each state, we derive a set of constraints that allow us to optimize the two depth images. In terms of hardware requirements, the cameras need to have access to the control of the infrared lights and should work with the same infrared wavelength and with exactly the same modulation frequency. A quantitative evaluation of the performance of the proposed method for different objects and setups is provided based on a simulation of the ToF cameras. Results on real images are also provided. In both simulation and real images the stereo-ToF acquisition is able to produce more accurate depth measurements.

The diagnosis and surveillance of several gastrointestinal (GI) diseases such as colateral or oesaphageal cancer are performed under endoscopic guidance. However, currently there exists no computer aided navigation tool to support these procedures. The goal of this project is to provide an advanced visualisation and automatic recognition tool in order to support the navigation and targeting in GI endoscopic procedures. The aim of the project is twofold: reconstructing the organ surface from endoscopic videos using monoSLAM and automatically recognising the biopsy locations to support the navigation and targeting in endoscopy.